Overview
Service Overview
Enterprise interest in “agentic” and Gen AI workloads is skyrocketing—Gartner forecasts that one‑third of enterprise software will embed autonomous AI agents by 2028—yet most firms lack a cloud‑aligned roadmap. This workshop closes that gap:
- AWS Environment Snapshot – rapid review of your AWS account structure, data lakes, IAM guardrails and existing ML workloads
- Service Deep Dive & Demos – practical patterns for Amazon Bedrock Agents, SageMaker JumpStart, Amazon Kendra, plus two relevant Marketplace models or frameworks (e.g., Anthropic Claude, LangChain Enterprise)
- Use‑Case Ideation & Scoring – design‑thinking exercise surfaces 5‑7 candidate workloads; each is scored for data readiness, security compliance, token‑cost impact and expected ROI
- Reference Architectures – white‑boarded, high‑level diagrams show how shortlisted use‑cases run in your AWS landing zone (VPC endpoints, KMS encryption, Guardrails, CloudWatch logging)
- 90‑Day Adoption Plan – backlog, ROM budget, MAP / Gen AI Partner funding options, and success KPIs so you can launch a Bedrock‑based PoC immediately
Deliverables:
- Slide deck + recording
- Prioritised use‑case matrix & risk/compliance checklist
- Draft reference architectures (PNG + Lucidchart)
- ROM cost/timeline for a Bedrock PoC
- Recommendations for Marketplace models / orchestration tooling
Most customers exit the session with a PoC scope they can submit for AWS funding within five business days
Read more: Here
Highlights
- Executive‑Level Outcomes in ½ Day – Aligns stakeholders on Gen AI value and AWS service fit
- Actionable 90‑Day Roadmap – Includes PoC backlog, cost estimates and security guardrails—no slide‑ware
- Marketplace Alignment – Identifies 3rd‑party models / tools available in AWS Marketplace that accelerate time‑to‑value
Details
Unlock automation with AI agent solutions

Pricing
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